Jobs at Bree Technologies (YC21)

About Bree

Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the d...

• Turn ambiguous ML, engineering, and product priorities into scoped, sequenced work engineers can actually execute against.
• Write specs and scoping docs that hold up: understanding real tradeoffs like training data quality, inference latency, retraining cadence, and infra cost well enough to capture them accurately.

• The full lifecycle of a feature, including discovery, technical design, implementation, testing, rollout, monitoring, and follow-up
• Work across our TypeScript and Node.js serverless backend, including Lambda, API Gateway, and SQS, as well as our React Native application

• Own mobile and frontend features from product discovery through public release.
• Work across a TypeScript/Node serverless stack (AWS Lambda, API Gateway, SQS) and React Native frontends.

• Build full-stack features with mentorship, from understanding the problem through implementation, testing, and release.
• Work across TypeScript and Node.js backend services and React Native frontends, with support from the team as you learn the stack.

• Build and improve backend services, APIs, and integrations with mentorship from experienced engineers.
• Contribute production changes in our TypeScript and Node.js services, including AWS Lambda-based workflows.

• Help prepare, explore, and validate data used in models and analytical workflows.
• Support training and evaluation of models used for areas such as credit risk, fraud detection, and customer experience.

• Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
• Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.

• Team & Pipeline Management: Own the weekly creative pipeline end-to-end. You will decide what gets made, ensure deadlines are hit, and continuously raise the bar by delivering clear, direct feedback that improves output quality across the team.
• Performance Partnership: Work closely with our Media Buyer to turn performance data into creat...

• Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
• Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.

• Full-Cycle Recruiting: Own the entire hiring process for technical roles, from initial kick-off with hiring managers to offer negotiation and closing.
• Strategic Sourcing: Actively hunt for top-tier, passive talent for difficult-to-fill engineering and product roles using LinkedIn Recruiter and creative outbound strategies.

• Own the end-to-end design for major product initiatives, from problem framing and discovery through execution and launch
• Partner deeply with different stakeholders including Engineers, CX, Business to turn ambiguous ideas into scoped, high-impact releases

• Team & Pipeline Management: Manage the weekly production pipeline and deliverables across the creative team. You’ll provide consistent feedback to ensure the team’s output evolves alongside platform trends while remaining brand-aligned and relevant to our target customer.
• Performance Partnership: Collaborate with our Media Buyer to align creative output with accoun...